QUANTITATIVE VEGETATION MAPPING OF URBAN AREA USING HIGH-RESOLUTION MULTISPECTRAL SATELLITE IMAGERY

Science-based technologies ◽

10.18372/2310-5461.26.8716 ◽

2015 ◽

Vol 26 (2) ◽

Author(s):

I. Piestova

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Vegetation Mapping ◽

Multispectral Satellite Imagery

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Individual Tree Location Detection by High-Resolution RGB Satellite Imagery in Urban Area

Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things ◽

10.1145/3398329.3398351 ◽

2020 ◽

Author(s):

Lingyun Shen ◽

Mingjing Yan ◽

Gang Wu ◽

Xiyou Su

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Individual Tree ◽

Location Detection

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A geographical sampling method for surveys of mosquito larvae in an urban area using high-resolution satellite imagery

Journal of Vector Ecology ◽

10.3376/1081-1710(2008)33[1:agsmfs]2.0.co;2 ◽

2008 ◽

Vol 33 (1) ◽

pp. 1-7 ◽

Author(s):

Adriana Troyo ◽

Douglas O. Fuller ◽

Olger Calderón-Arguedas ◽

John C. Beier

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Sampling Method ◽

Mosquito Larvae ◽

High Resolution Satellite Imagery

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Derivation of High-Resolution Bathymetry from Multispectral Satellite Imagery: A Comparison of Empirical and Optimisation Methods through Geographical Error Analysis

Remote Sensing ◽

10.3390/rs71215829 ◽

2015 ◽

Vol 7 (12) ◽

pp. 16257-16273 ◽

Author(s):

Sarah Hamylton ◽

John Hedley ◽

Robin Beaman

Keyword(s):

High Resolution ◽

Error Analysis ◽

Satellite Imagery ◽

Multispectral Satellite Imagery ◽

High Resolution Bathymetry ◽

Optimisation Methods

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High-resolution multispectral satellite imagery for extracting bathymetric information of Antarctic shallow lakes

10.1117/12.2222769 ◽

2016 ◽

Author(s):

Shridhar D. Jawak ◽

Alvarinho J. Luis

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Shallow Lakes ◽

Multispectral Satellite Imagery

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A simple method for detection and counting of oil palm trees using high-resolution multispectral satellite imagery

International Journal of Remote Sensing ◽

10.1080/01431161.2016.1226527 ◽

2016 ◽

Vol 37 (21) ◽

pp. 5122-5134 ◽

Author(s):

Heri Santoso ◽

Hiroshi Tani ◽

Xiufeng Wang

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Oil Palm ◽

Simple Method ◽

Multispectral Satellite Imagery ◽

Detection And Counting

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Use of High-Resolution Multispectral Satellite Imagery in Hydrological and Agricultural Applications

Journal of Rainwater Catchment Systems ◽

10.7132/jrcsa.kj00004871201 ◽

2008 ◽

Vol 13 (2) ◽

pp. 49-54

Author(s):

Masahiro Tasumi ◽

Shinichi Takeshita ◽

Kenji Suzuki

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Multispectral Satellite Imagery ◽

Agricultural Applications

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An Integrated Framework for Road Detection in Dense Urban Area from High-Resolution Satellite Imagery and Lidar Data

Journal of Geographic Information System ◽

10.4236/jgis.2018.102009 ◽

2018 ◽

Vol 10 (02) ◽

pp. 175-192

Author(s):

Asghar Milan

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Road Detection ◽

Integrated Framework ◽

Dense Urban Area ◽

High Resolution Satellite Imagery

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Mapping freshwater marsh species distributions using WorldView-2 high-resolution multispectral satellite imagery

International Journal of Remote Sensing ◽

10.1080/01431161.2014.919685 ◽

2014 ◽

Vol 35 (13) ◽

pp. 4698-4716 ◽

Author(s):

Melissa Vernon Carle ◽

Lei Wang ◽

Charles E. Sasser

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Species Distributions ◽

Freshwater Marsh ◽

Multispectral Satellite Imagery

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Shadow Detection in High-Resolution Multispectral Satellite Imagery Using Generative Adversarial Networks

2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON) ◽

10.1109/intercon.2018.8526416 ◽

2018 ◽

Author(s):

Giorgio Morales ◽

Daniel Arteaga ◽

Samuel G. Huaman ◽

Joel Telles ◽

Walther Palomino

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Shadow Detection ◽

Generative Adversarial Networks ◽

Adversarial Networks ◽

Multispectral Satellite Imagery

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Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning

Artificial Neural Networks and Machine Learning – ICANN 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-01424-7_28 ◽

2018 ◽

pp. 280-288 ◽

Author(s):

Giorgio Morales ◽

Samuel G. Huamán ◽

Joel Telles

Keyword(s):

Deep Learning ◽

High Resolution ◽

Satellite Imagery ◽

Cloud Detection ◽

Multispectral Satellite Imagery

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